Lab 3 – 2

Task 3: Child Poverty and Adult Education Across U.S. Counties

This visualization is a scatterplot created using ACS data. The x-axis shows the poverty rate for related children under 18, and the y-axis shows the percent of young adults ages 25–44 with less than a high school diploma. Each point represents a county, and the color indicates the level of child poverty. Average reference lines divide the chart into four quadrants to help compare patterns.

Discussion

(1) Relationship between child poverty and adult education

The quadrant scatterplot reveals a clear pattern in how child poverty and adult education are related across U.S. counties. Counties that fall in the higher child poverty quadrants tend to also show higher percentages of young adults without a high school diploma. This clustering suggests that lower educational attainment among adults is commonly associated with higher levels of poverty affecting children.

At the same time, the chart shows variation across counties, indicating that education is not the only factor influencing child poverty. Some counties with similar education levels display different poverty outcomes, which suggests that local economic and demographic conditions may also play a role. Overall, however, the quadrant structure makes it easier to identify counties experiencing both educational and economic disadvantage.

(2) Value of interactive filters

The interactive filters add important analytical value by allowing users to explore how these relationships change under different conditions. Filtering by state helps isolate regional patterns and avoids broad national generalizations. The metro versus non-metro filter highlights differences between urban and rural counties, which often face distinct economic challenges.

Additional filters such as industry dependence, substantial minority status, and adjustable ranges for poverty and education allow users to focus on specific county types and compare similar groups. These tools transform the visualization from a static summary into an exploratory analysis, making it more useful for understanding complex social patterns and for supporting data-driven discussion.

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